Urmila Chaudhari

50 total papers · 519 total citations
25 papers, 343 citations indexed

About

Urmila Chaudhari is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Urmila Chaudhari has authored 25 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Information Systems, 17 papers in Strategy and Management and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Urmila Chaudhari's work include Supply Chain and Inventory Management (24 papers), Sustainable Supply Chain Management (15 papers) and Scheduling and Optimization Algorithms (4 papers). Urmila Chaudhari is often cited by papers focused on Supply Chain and Inventory Management (24 papers), Sustainable Supply Chain Management (15 papers) and Scheduling and Optimization Algorithms (4 papers). Urmila Chaudhari collaborates with scholars based in India, South Korea and Saudi Arabia. Urmila Chaudhari's co-authors include Mrudul Y. Jani, Nita H. Shah, Leopoldo Eduardo Cárdenas‐Barrón, Biswajit Sarkar, Mohammed S. Alqahtani, Mohamed Abbas, Santosh Kumar Sharma and Mitali Sarkar and has published in prestigious journals such as Environment Development and Sustainability, Mathematics and Computers in Simulation and Mathematics.

In The Last Decade

Urmila Chaudhari

23 papers receiving 323 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Urmila Chaudhari	237	207	69	50	35	25	343
Neha Saxena	200 0.8×	212 1.0×	45 0.7×	60 1.2×	21 0.6×	20	336
Sumit Maheshwari	212 0.9×	189 0.9×	78 1.1×	33 0.7×	31 0.9×	15	317
Hyesung Seok	131 0.6×	169 0.8×	82 1.2×	63 1.3×	26 0.7×	29	335
Armando Céspedes-Mota	234 1.0×	208 1.0×	92 1.3×	21 0.4×	33 0.9×	33	385
Qi Fu	286 1.2×	204 1.0×	45 0.7×	53 1.1×	92 2.6×	18	387
Yang Song	125 0.5×	196 0.9×	39 0.6×	112 2.2×	30 0.9×	35	367
Maximiliano Udenio	145 0.6×	160 0.8×	41 0.6×	33 0.7×	56 1.6×	24	341
Ashis Kumar Chatterjee	237 1.0×	188 0.9×	63 0.9×	41 0.8×	28 0.8×	27	334
Subhendu Ruidas	217 0.9×	207 1.0×	48 0.7×	30 0.6×	30 0.9×	10	319
Rachna Kumari	287 1.2×	249 1.2×	87 1.3×	45 0.9×	37 1.1×	24	374

Countries citing papers authored by Urmila Chaudhari

Since Specialization

Citations

This map shows the geographic impact of Urmila Chaudhari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Urmila Chaudhari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urmila Chaudhari more than expected).

Fields of papers citing papers by Urmila Chaudhari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urmila Chaudhari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Urmila Chaudhari. The network helps show where Urmila Chaudhari may publish in the future.

Co-authorship network of co-authors of Urmila Chaudhari

This figure shows the co-authorship network connecting the top 25 collaborators of Urmila Chaudhari. A scholar is included among the top collaborators of Urmila Chaudhari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Urmila Chaudhari. Urmila Chaudhari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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